Epidemiological characteristics of bacillary dysentery from 2009 to 2016 and its incidence prediction model based on meteorological factors.

ABSTRACT: BACKGROUND:This study aimed to analyse the epidemiological characteristics of bacillary dysentery (BD) caused by Shigella in Chongqing, China, and to establish incidence prediction models based on the correlation between meteorological factors and BD, thus providing a scientific basis for the prevention and control of BD. METHODS:In this study, descriptive methods were employed to investigate the epidemiological distribution of BD. The Boruta algorithm was used to estimate the correlation between meteorological factors and BD incidence. The genetic algorithm (GA) combined with support vector regression (SVR) was used to establish the prediction models for BD incidence. RESULTS:In total, 68,855 cases of BD were included. The incidence declined from 36.312/100,000 to 23.613/100,000, with an

SUBMITTER: Meng Q 

PROVIDER: S-EPMC6935186 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature